OpenAI: GPT-4.1 vs OpenAI: GPT-4o
Side-by-side specs, pricing, and benchmarks. Pick a winner for your team's use case.
Use it in a Space
Spin up a Switchy Space with either model — your whole team @-mentions it with shared context, pooled credits, one memory.
OpenAI: GPT-4.1OpenAI: GPT-4o
Input $/Mtok$2.00 · $2.50
Output $/Mtok$8.00 · $10.00
OpenAI: GPT-4.1OpenAI: GPT-4o
OpenAI: GPT-4.11048K tokens
OpenAI: GPT-4o128K tokens
Bars use square-root scaling so a 1M-token window doesn't crush a 200K one.
OpenAI: GPT-4.1OpenAI: GPT-4o
2025-04-14
2024-05-13
2024-04-13today
OpenAI: GPT-4.1
- Provider
- openai
- Context
- 1048k
- Input $/Mtok
- $2.00
- Output $/Mtok
- $8.00
- Max output
- —
- Modalities
- image, text, file
OpenAI: GPT-4o
- Provider
- openai
- Context
- 128k
- Input $/Mtok
- $2.50
- Output $/Mtok
- $10.00
- Max output
- 16384
- Modalities
- text, image, file
Price delta
OpenAI: GPT-4.1 is $0.50/Mtok cheaper than OpenAI: GPT-4o on input. Output: OpenAI: GPT-4.1 is $2.00/Mtok cheaper than OpenAI: GPT-4o.
Which to pick
Pick **GPT-4.1** when context length is the deciding factor. Its 1M-token window is roughly 8x GPT-4o's 128k, which is the practical reason most teams pick it over GPT-4o on Switchy — full-repo ingestion, long board packs, multi-hour transcript work. Input pricing is also slightly lower ($2 vs $2.50 per Mtok).
Pick **GPT-4o** for multimodal turns — vision over images and charts, audio in/out, integrated voice, document-layout work. Output pricing matches at $8–10 per Mtok; the deciding question is "do I need 1M tokens of context, or do I need image and audio handling." Both are good defaults inside a Switchy Space; teams running long-context engineering work tend to keep GPT-4.1 enabled and GPT-4o on standby for screenshot review and voice flows.